A review of poststroke aphasia recovery and treatment options

VE Tilton-Bolowsky, AE Hillis - Physical Medicine and …, 2024 - pmr.theclinics.com
Aphasia is a language-based communication disorder that occurs when the brain regions
responsible for language processes incur damage. This damage can occur from stroke …

Dynamic network properties of the superior temporal gyrus mediate the impact of brain age gap on chronic aphasia severity

J Wilmskoetter, N Busby, X He, L Caciagli… - Communications …, 2023 - nature.com
Brain structure deteriorates with aging and predisposes an individual to more severe
language impairments (aphasia) after a stroke. However, the underlying mechanisms of this …

Diabetes, brain health, and treatment gains in post-stroke aphasia

R Roth, N Busby, J Wilmskoetter… - Cerebral …, 2023 - academic.oup.com
In post-stroke aphasia, language improvements following speech therapy are variable and
can only be partially explained by the lesion. Brain tissue integrity beyond the lesion (brain …

Regional brain aging: premature aging of the domain general system predicts aphasia severity

N Busby, S Newman-Norlund, S Sayers… - Communications …, 2024 - nature.com
Premature brain aging is associated with poorer cognitive reserve and lower resilience to
injury. When there are focal brain lesions, brain regions may age at different rates within the …

Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity

A Teghipco, R Newman-Norlund, J Fridriksson… - Communications …, 2024 - nature.com
Background Emerging evidence suggests that post-stroke aphasia severity depends on the
integrity of the brain beyond the lesion. While measures of lesion anatomy and brain …

[HTML][HTML] The effect of head motion on brain age prediction using deep convolutional neural networks

P Vakli, B Weiss, D Rozmann, G Erőss, Á Nárai… - NeuroImage, 2024 - Elsevier
Deep learning can be used effectively to predict participants' age from brain magnetic
resonance imaging (MRI) data, and a growing body of evidence suggests that the difference …

[HTML][HTML] Distinct brain morphometry patterns revealed by deep learning improve prediction of aphasia severity

A Teghipco, R Newman-Norlund, J Fridriksson… - Research …, 2024 - ncbi.nlm.nih.gov
Emerging evidence suggests that post-stroke aphasia severity depends on the integrity of
the brain beyond the stroke lesion. While measures of lesion anatomy and brain integrity …

[HTML][HTML] Discourse-and lesion-based aphasia quotient estimation using machine learning

N Riccardi, S Nelakuditi, DB den Ouden, C Rorden… - NeuroImage: Clinical, 2024 - Elsevier
Discourse is a fundamentally important aspect of communication, and discourse production
provides a wealth of information about linguistic ability. Aphasia commonly affects, in …

Insights gained over 60 years on factors shaping post-stroke aphasia recovery: A commentary on Vignolo (1964)

M Varkanitsa, S Kiran - Cortex, 2024 - Elsevier
Aphasia is an acquired language disorder resulting from brain injury, including strokes
which is the most common etiology, neurodegenerative diseases, tumors, traumatic brain …

Brain structural and functional correlates of the heterogenous progression of mixed transcortical aphasia

D López-Barroso, J Paredes-Pacheco… - Brain Structure and …, 2023 - Springer
Mixed transcortical aphasia (MTCA) is characterized by non-fluent speech and
comprehension deficits coexisting with preserved repetition. MTCA may evolve to less …